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End of training

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README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1208
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- - Rouge1: 49.4362
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- - Rouge2: 41.2407
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- - Rougel: 49.4563
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- - Rougelsum: 49.4667
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  - Gen Len: 8.6479
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  ## Model description
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 1.197 | 1.0 | 6199 | 1.2715 | 48.7124 | 40.9045 | 48.7519 | 48.6756 | 8.8249 |
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- | 1.0007 | 2.0 | 12398 | 1.1895 | 49.2361 | 41.2084 | 49.2966 | 49.2352 | 8.8057 |
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- | 0.9704 | 3.0 | 18597 | 1.1555 | 48.5327 | 40.4476 | 48.6002 | 48.5683 | 8.3833 |
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- | 0.8767 | 4.0 | 24796 | 1.1741 | 49.9702 | 41.7526 | 50.0684 | 50.0408 | 8.6996 |
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- | 0.8609 | 5.0 | 30995 | 1.1208 | 49.4362 | 41.2407 | 49.4563 | 49.4667 | 8.6479 |
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- | 0.8116 | 6.0 | 37194 | 1.1342 | 48.5805 | 40.0995 | 48.6232 | 48.5617 | 8.5086 |
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- | 0.7775 | 7.0 | 43393 | 1.1344 | 48.7349 | 40.0965 | 48.8403 | 48.7421 | 8.4947 |
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- | 0.7684 | 8.0 | 49592 | 1.1341 | 49.1323 | 40.3782 | 49.1987 | 49.1524 | 8.5676 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1208
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+ - Rouge1: 49.4993
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+ - Rouge2: 41.292
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+ - Rougel: 49.4867
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+ - Rougelsum: 49.4893
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  - Gen Len: 8.6479
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 1.197 | 1.0 | 6199 | 1.2715 | 48.7826 | 40.9132 | 48.7107 | 48.673 | 8.8249 |
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+ | 1.0007 | 2.0 | 12398 | 1.1895 | 49.2848 | 41.2383 | 49.2157 | 49.2427 | 8.8057 |
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+ | 0.9704 | 3.0 | 18597 | 1.1555 | 48.6181 | 40.4911 | 48.6226 | 48.5723 | 8.3833 |
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+ | 0.8767 | 4.0 | 24796 | 1.1741 | 50.095 | 41.7648 | 50.0118 | 50.0238 | 8.6996 |
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+ | 0.8609 | 5.0 | 30995 | 1.1208 | 49.4993 | 41.292 | 49.4867 | 49.4893 | 8.6479 |
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+ | 0.8116 | 6.0 | 37194 | 1.1342 | 48.6285 | 40.1426 | 48.6128 | 48.588 | 8.5086 |
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+ | 0.7775 | 7.0 | 43393 | 1.1344 | 48.8308 | 40.1481 | 48.7914 | 48.7812 | 8.4947 |
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+ | 0.7684 | 8.0 | 49592 | 1.1341 | 49.1873 | 40.4318 | 49.1699 | 49.1436 | 8.5676 |
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  ### Framework versions
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